Robust radiometric calibration and vignetting correction
Robust radiometric calibration and vignetting correction
复制标题
DOI：
10.1109/tpami.2007.70732
复制
发表时间：
2008-04-01
影响因子：
23.6
通讯作者：
Pollefeys, Marc
中科院分区：
文献类型：
--
作者：
Kim, Seon Joo;Pollefeys, Marc
在许多计算机视觉系统中，假设点的图像亮度直接反映该点的场景辐射亮度。然而，由于非线性相机响应函数、曝光变化和渐晕，该假设在大多数情况下不成立。这些因素的影响在3D模型的图像马赛克和纹理中最为明显，其中颜色看起来不一致并且存在明显的边界。在本文中，我们提出了一个完整的辐射校准算法，包括辐射响应函数，曝光和渐晕的鲁棒估计。通过解耦效应的响应函数估计的晕，我们接近每个过程的方式，是强大的噪声和离群值。我们验证了我们的算法与合成和真实的数据，这表明显着的改进相比，现有的方法。我们将我们的估计结果应用于辐射对齐图像的无缝马赛克和3D模型纹理。我们还使用我们的方法来创建高动态范围（HDR）马赛克，比普通马赛克更能代表场景。
In many computer vision systems, it is assumed that the image brightness of a point directly reflects the scene radiance of the point. However, the assumption does not hold in most cases due to nonlinear camera response function, exposure changes, and vignetting. The effects of these factors are most visible in image mosaics and textures of 3D models where colors look inconsistent and notable boundaries exist. In this paper, we propose a full radiometric calibration algorithm that includes robust estimation of the radiometric response function, exposures, and vignetting. By decoupling the effect of vignetting from the response function estimation, we approach each process in a manner that is robust to noise and outliers. We verify our algorithm with both synthetic and real data, which shows significant improvement compared to existing methods. We apply our estimation results to radiometrically align images for seamless mosaics and 3D model textures. We also use our method to create high dynamic range (HDR) mosaics that are more representative of the scene than normal mosaics.